Knowledge-based Anaphora Resolution

Knowledge-Based Anaphora Resolution is an anaphora resolution approach that relies on external linguistic, world, or commonsense knowledge resources to disambiguate anaphoric expressions by leveraging explicit semantic or pragmatic constraints not present in the local textual context.

58

Publications

2.2K

Citations

108

Authors

49

Institutions

Publications per year

2017–2026

7

Authors

108

  1. RM
    Ruslan Mitkov

    University of Wolverhampton, United Kingdom

    8 publications · 536 citations

    8

    h-index

  2. KM
    Katja Markert

    University of Leeds, United Kingdom

    4 publications · 177 citations

    4

    h-index

  3. TL
    Tyne Liang

    National Yang Ming Chiao Tung University, Taiwan

    3 publications · 52 citations

    3

    h-index

  4. MP
    Massimo Poesio

    University of Essex, United Kingdom

    3 publications · 209 citations

    3

    h-index

  5. MS
    Michael Strube

    Washington University in St. Louis, United States

    2 publications · 60 citations

    2

    h-index

1–5 of 108

Venues

  1. Computational Linguistics

    3 publications · 154 citations

    3

    h-index

  2. 1

    h-index

  3. Institutional Repositories DataBase (IRDB)

    Repository · 1 publications · 10 citations

    1

    h-index

  4. Applied Artificial Intelligence

    AAI · 1 publications · 39 citations

    1

    h-index

  5. Soft Computing

    1 publications · 28 citations

    1

    h-index

1–5